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MONTICELLOAM
MONTICELLOAM, LLC and its affiliates (“Monticello”) is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. Monticello is seeking team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic.
At Monticello, we believe that finding creative solutions for our clients comes from the collaboration of people with diverse backgrounds and perspectives. We strive to build an inclusive work environment that celebrates differences and empowers all individuals with opportunities to channel their entrepreneurial spirit. Monticello is an EEO employer.
We're looking for an AI Engineer to build and deploy intelligent systems across asset management, underwriting, and business intelligence: from document extraction pipelines to AI-powered internal tools to autonomous workflows that reduce manual work across the business.
You'll join a small, collaborative team that builds the AI and data systems powering Monticello's real estate finance operations.
This role is fully in person. Candidates must be able to work onsite at our New York City office.
At Monticello, we build and operate our data platform using modern, scalable technologies. As an AI Engineer, you’ll work hands-on with:
We welcome applicants from a variety of educational and professional backgrounds. If you've built and shipped AI solutions and are looking to own projects end to end, we'd like to hear from you — even if your experience doesn't match every bullet.
What you'll own:
You'll also contribute to:
Monticello offers a competitive base salary and bonus.
The base salary range for this position is $95,000-$140,000/year.
The specific compensation that will be offered is based on an understanding of the hired candidates' qualifications at the time of hire.
Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.
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